Why Sigma: Quality

Why Sigma: Quality

Five Factors of Training Data Quality Quality in, quality out — an AI is only as smart as its training data. Artificial intelligence algorithms learn by example, so to create smarter algorithms, both the original dataset and the annotated data have to meet high...
Why Sigma: Speed and Scalability

Why Sigma: Speed and Scalability

Creating efficient processes through iteration and customization When annotation data quality is so crucial to how an AI performs, knowing exactly where to build in efficiencies is a challenge. High quality annotation can be done efficiently and affordably, but cost...
Why Sigma: Flexibility and Problem-Solving

Why Sigma: Flexibility and Problem-Solving

We Thrive in Complexity — And Love a Challenge If there’s one thing that’s permanent in the training data space, it’s that demands on data are constantly changing. As artificial intelligence evolves and broadens in scope, data collection and annotation requirements...
Why Sigma: Service and Experience

Why Sigma: Service and Experience

Customer Needs Come First  Each client is unique and has its own working style, needs and goals, and our top priority is to serve our clients’ needs in every way we can. From assigning dedicated project managers to your project, to working with you to define...
Why Sigma: Data Privacy, GDPR, and Security Compliance

Why Sigma: Data Privacy, GDPR, and Security Compliance

Data Is Your Most Precious Asset — We Keep It Secure Data security is crucial in data collection and annotation. Data can contain sensitive information and may be subject to privacy regulations. Whether the data contains personal information or information that’s...
Why Sigma: Human-Centric AI

Why Sigma: Human-Centric AI

AI Has an Impact — We Want to Make It a Positive One Sigma is centered on people: The people we work with, the customers we serve, and the people who use or are affected by the artificial intelligence algorithms our training data helps build. Half of the story is how...